odr - Optimal Design and Statistical Power for Experimental Studies
Investigating Main, Mediation, and Moderation Effects
Calculate the optimal sample size allocation that produces
the highest statistical power for experimental studies under a
budget constraint, and perform power analyses with and without
accommodating cost structures of sampling. The designs cover
single-level and multilevel experiments detecting main,
mediation, and moderation effects (and some combinations). The
references for the proposed methods include: (1) Shen, Z., &
Kelcey, B. (2020). Optimal sample allocation under unequal
costs in cluster-randomized trials. Journal of Educational and
Behavioral Statistics, 45(4): 446-474.
<doi:10.3102/1076998620912418>. (2) Shen, Z., & Kelcey, B.
(2022b). Optimal sample allocation for three-level multisite
cluster-randomized trials. Journal of Research on Educational
Effectiveness, 15 (1), 130-150.
<doi:10.1080/19345747.2021.1953200>. (3) Shen, Z., & Kelcey, B.
(2022a). Optimal sample allocation in multisite randomized
trials. The Journal of Experimental Education.
<doi:10.1080/00220973.2020.1830361>. (4) Champely, S. (2020).
pwr: Basic functions for power analysis (Version 1.3-0)
[Software]. Available from
<https://CRAN.R-project.org/package=pwr>.
